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Enregistrement W2574055622

INFECTIOUS DISEASE AS AN INDICATOR OF PHYSIOLOGICAL STRESS IN THE MIDDLE HOLOCENE CIS-BAIKAL

2016· dissertation· en· W2574055622 sur OpenAlexfundno aff
Samantha L Purchase

Notice bibliographique

RevueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2016
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueYersinia bacterium, plague, ectoparasites research
Établissements canadiensnon disponible
Organismes subventionnairesSocial Sciences and Humanities Research Council of Canada
Mots-clésHoloceneDiseaseInfectious disease (medical specialty)GeographyHistoryGeologyArchaeologyMedicinePathology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Two distinct hunter-fisher-gatherer cultures lived on either side of a Middle Neolithic (or MN; 7,000/6,800-6,000/5,800 B.P.) archaeological hiatus in the Cis-Baikal, Siberia, Russian Federation.The Kitoi occupied the region in the Early Neolithic (or EN; 8,000-7,000/6,800 B.P.) and the Isakovo-Serovo-Glazkovo (or ISG) occupied the region in the Late Neolithic (or LN; 6,000/5,800-5,200 B.P.) into the Early Bronze Age (or EBA; 5,200/5,000-3,400 B.P.; Weber et al. 2015).Both of these cultures buried their dead in formal cemeteries located adjacent to the shores of Lake Baikal and along the many rivers of the Cis-Baikal.Research concerning the levels of physiological stress in the two cultures has found that the Kitoi suffered from more frequent and severe episodes of physiological stress than did the ISG (Lieverse et al. 2007a;Link 1999;Temple et al. 2014;Waters-Rist 2011;Waters-Rist et al. 2011).A detailed non-destructive visual examination of the osteological remains of 250 hunterfisher-gatherers from three cemeteries (Shamanka II, Lokomotiv, and Ust'-Ida I) from the middle Holocene Cis-Baikal was carried out to determine if non-specific infection-induced lesions occurred significantly more in those populations who were found to have been the most physiological stressed.An endoscope was used to examine individuals' middle ears and those sinuses that were unobservable to the human eye and were accessible through cracks in the skull; and a hand-held x-ray system was used to image individuals' mastoid processes.One question was asked of the presence/absence data: is the incidence of infection-induced lesions within the sample related to a) the type of infection, b) the sex of the individual, c) the age of the individual, d) the cemetery the individual came from, and/or e) the time period the individual lived in?To answer this question, binomial tests, chi-square tests, and generalized linear model logistic regression tests were conducted.These revealed the presence of statistically more lesions indicative of chronic non-specific infection in EN individuals, more specifically, in those from the cemetery of Lokomotiv, in males, and in those older than 20 years.It was concluded that non-specific infection-induced lesions occurred more in those populations who were found to have been the most physiological stressed.This study is in line with our understanding of stress, provides a much more detailed view into the community health of the Kitoi and the ISG than was previously known, and explores the lifeways of these two cultures through a new lens.SSHRC), the Northern Scientific Training Program of Canada (or NSTP), and the University of Saskatchewan.Second, I would like to thank my supervisor, Dr. Angela Lieverse, and the rest of my supervisory committee, Dr. Ernest Walker and Dr. David Cooper, who provided essential guidance, insight, and scrutiny throughout this research process.Thank you for keeping me focused, for motivating me when I needed it, and for saying, "you are the expert, so what do you think?"Those words gave me a sense of pride in my work and drove me to look deeper.Third, I would like to thank Dr. Eric Lamb, who allowed me to pepper him with statistics questions long after my statistics class with him was over.He now knows arguably more about palaeopathology than any other plant scientist at the university.Fourth, I would like to thank the Baikal-Hokkaido Archaeology Project (or BHAP) for allowing me to become a part of their team.As a new researcher, I have learned a lot about collaborative investigation through their willingness to share with me.I have been inspired to keep working within the field of paleopathology and with people like you.Fifth, I would like to thank two people from the department who have been nothing but supportive and incouraging since I have been at the university: Dr. Christopher Foley and Deborah Croteau.Thank you for the long talks and words of wisdom over the years.Sixth, and not least, I would like to thank my fiancé, parents, brother, other family, and friends who supported me through the highs and lows of research, and who were there for me every step of the way: thank you and I love you all.To my grandpa whose pride

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,189
Score d'incertitude au seuil0,376

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,209
Écart entre enseignants0,199 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2016
Routes d'admission1
Résumé présentoui

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